KOPF HALS – Automatisierte ASPECTS-Berechnung mittels KI – klinischer Nutzen trotz sinkender Relevanz zur Therapieentscheidung?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Der Alberta Stroke Program Early CT Score (ASPECTS) ist die meistgenutzte Methode zur systematischen, quantitativen Auswertung nativer Schädel-CTs (NCCT) bei Verdacht auf akuten Schlaganfall. Die Genauigkeit und Konsistenz der Auswertung hängen dabei stark von der Expertise der Befunder*innen ab. Die Autor*innen der Studie entwickelten deshalb eine deep-learning (DL)-basierte KI und analysierten anschließend deren Einsatz im klinischen Alltag. Publication History Article published online: 19 August 2025 © 2025. Thieme. All rights reserved. Georg Thieme Verlag KG Oswald-Hesse-Straße 50, 70469 Stuttgart, Germany Comment to this article: Kommentar zu „KOPF HALS – Automatisierte ASPECTS-Berechnung mittels KI –klinischer Nutzen trotz sinkender Relevanz zur Therapieentscheidung?“ Rofo 2025; 197(09): 1003-1004 DOI: 10.1055/a-2581-0126
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it